91 data-visualization-analysis-"https:" Postdoctoral positions at University of Washington
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financial services. For more information about EPAR, please see: https://epar.evans.uw.edu/ This position is a combination of service and applied research and may include preparing confidential reports
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with whole exome and targeted panels Perform genomic analyses of natural saturation mutagenesis Perform mutational data analysis, visualization and modeling Contribute to manuscript preparation
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postdoctoral researchers, and continues to grow. More information about the ME department is available at http://www.me.washington.edu . The base salary range for this position will be $70,000-$75,000 per year
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cytometry, and microscopy are encouraged to apply. Additionally, previous experience analyzing transcriptomic data is an advantage, as the dry lab (e.g., single cell RNA-sequencing dataset analysis) informs
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Researcher, you will gain extensive hands-on training in cryo-EM sample preparation and data analysis, heterogeneity analysis tools, mass spectrometry, membrane biology, biochemistry, and cellular assays
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patient care. This is a highly applied computational research role, with opportunity to create meaningful clinical impact! General Duties: Develop AI/ML models for analysis of clinical single-cell data Use
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. Analyze and visualize experimental and genomic data and communicate findings directly with the PI and research team. Lead and contribute to manuscripts, including first-author publications, grant
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Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor
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licenses unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations
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Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor